Reformulate LLM Reinforcement Learning for Efficient Training under Black-box Discrepancy

Jiashun Liu, Runze Liu, Xu Wan +3

Reinforcement Learning (RL) has emerged as a pivotal post-training paradigm, yet it frequently suffers from unpredictable sub-optimum performance or even training collapses. Recent…